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Local LLMOps

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May 1, 2024 5 minute read

Local LLMOps is the practice of developing and maintaining large language models (LLMs) on local infrastructure, such as a personal computer or a small cluster of servers. LLMs are a type of artificial intelligence that can understand and generate human-like text, and they can be used for a variety of tasks, such as natural language processing, machine translation, and chatbots.

Why Learn Local LLMOps?

There are several reasons why you might want to learn Local LLMOps:

Path to Local LLMOps

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We've curated two courses to help you on your path to Local LLMOps. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Databricks to Local LLMs

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Foundations of Local Large Language models

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Local LLMOps.

Natural Language Processing with Transformers,...

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Focuses on NLP applications of Transformers, making it relevant for understanding how to use LLMs for specific NLP tasks.

Natural Language Processing with Transformers,...

Paperback

Natural Language Processing with Transformers,...

Kindle Edition

Deep Learning

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Provides a broad overview of machine learning, including a chapter on deep learning and NLP.

Deep Learning: A Visual Approach

Hardcover

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Deep Learning: A Visual Approach

Kindle Edition

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Building Machine Learning Systems with Python

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Covers the practical aspects of building machine learning systems, including a section on NLP.

Building Machine Learning Systems with Python -...

Paperback

Building Machine Learning Systems with Python:...

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